10 results on '"Fallström, M"'
Search Results
2. Cognitive reserve and TMEM106B genotype modulate brain damage in presymptomatic frontotemporal dementia: a GENFI study
- Author
-
Premi, Enrico, Grassi, Mario, van Swieten John, Galimberti, Daniela, Graff, Caroline, Masellis, Mario, Tartaglia, Carmela, Tagliavini, Fabrizio, Rowe James, B, Laforce, Robert, Finger, Elizabeth, Frisoni Giovanni, B, de Mendonça Alexandre, Sorbi, Sandro, Gazzina, Stefano, Cosseddu, Maura, Archetti, Silvana, Gasparotti, Roberto, Manes, Marta, Alberici, Antonella, Cardoso Manuel, J, Bocchetta, Martina, Cash David, M, Ourselin, Sebastian, Padovani, Alessandro, Rohrer Jonathan, D, Andersson, C, Arighi, A, Benussi, L, Binetti, G, Black, S, Dick, K, Fallström, M, Ferreira, C, Fenoglio, C, Fox, N, Freedman, M, Fumagalli, G, Ghidoni, R, Grisoli, M, Jelic, V, Jiskoot, L, Keren, R, Lombardi, G, Maruta, C, Meeter, L, Miltenberger-Miltényi, G, Nacmias, B, Öijerstedt, L, Panman, J, Pievani, M, Polito, C, Prioni, S, Rademakers, R, Redaelli, V, Rogaeva, E, Rossi, G, Rossor, M, Scarpini, E, Tang-Wai, D, Thomas, D, Thonberg, H, Tiraboschi, P, van Minkelen, R, Verdelho, A, Warren, J, Borroni, Barbara, Rowe, James [0000-0001-7216-8679], Apollo - University of Cambridge Repository, and Neurology
- Subjects
Male ,0301 basic medicine ,Oncology ,frontotemporal dementia ,Cognitive reserve ,Frontotemporal dementia ,Genetics ,Structural MRI ,TMEM106b ,Cohort Studies ,ddc:616.89 ,0302 clinical medicine ,C9orf72 ,genetics ,Gray Matter ,10. No inequality ,medicine.diagnostic_test ,Middle Aged ,cognitive reserve ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,structural MRI ,Brain size ,Educational Status ,Female ,Psychology ,Adult ,medicine.medical_specialty ,Genotype ,Prodromal Symptoms ,Nerve Tissue Proteins ,Grey matter ,03 medical and health sciences ,Internal medicine ,mental disorders ,medicine ,Humans ,Dementia ,Cerebral atrophy ,Polymorphism, Genetic ,Mini–Mental State Examination ,Membrane Proteins ,Original Articles ,medicine.disease ,Editor's Choice ,030104 developmental biology ,Neurology (clinical) ,Atrophy ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Frontotemporal dementia (FTD) shows substantial phenotypic variability. In a multicentre study, Premi et al. explore the effect of cognitive reserve and TMEM106B genotype in modulating grey matter volume in presymptomatic FTD. Environmental as well as genetic factors affect rates of brain atrophy, suggesting a possible strategy for delaying disease onset., Frontotemporal dementia is a heterogeneous neurodegenerative disorder with around a third of cases having autosomal dominant inheritance. There is wide variability in phenotype even within affected families, raising questions about the determinants of the progression of disease and age at onset. It has been recently demonstrated that cognitive reserve, as measured by years of formal schooling, can counteract the ongoing pathological process. The TMEM106B genotype has also been found to be a modifier of the age at disease onset in frontotemporal dementia patients with TDP-43 pathology. This study therefore aimed to elucidate the modulating effect of environment (i.e. cognitive reserve as measured by educational attainment) and genetic background (i.e. TMEM106B polymorphism, rs1990622 T/C) on grey matter volume in a large cohort of presymptomatic subjects bearing frontotemporal dementia-related pathogenic mutations. Two hundred and thirty-one participants from the GENFI study were included: 108 presymptomatic MAPT, GRN, and C9orf72 mutation carriers and 123 non-carriers. For each subject, cortical and subcortical grey matter volumes were generated using a parcellation of the volumetric T1-weighted magnetic resonance imaging brain scan. TMEM106B genotyping was carried out, and years of education recorded. First, we obtained a composite measure of grey matter volume by graph-Laplacian principal component analysis, and then fitted a linear mixed-effect interaction model, considering the role of (i) genetic status; (ii) educational attainment; and (iii) TMEM106B genotype on grey matter volume. The presence of a mutation was associated with a lower grey matter volume (P = 0.002), even in presymptomatic subjects. Education directly affected grey matter volume in all the samples (P = 0.02) with lower education attainment being associated with lower volumes. TMEM106B genotype did not influence grey matter volume directly on its own but in mutation carriers it modulated the slope of the correlation between education and grey matter volume (P = 0.007). Together, these results indicate that brain atrophy in presymptomatic carriers of common frontotemporal dementia mutations is affected by both genetic and environmental factors such that TMEM106B enhances the benefit of cognitive reserve on brain structure. These findings should be considered in evaluating outcomes in future disease-modifying trials, and support the search for protective mechanisms in people at risk of dementia that might facilitate new therapeutic strategies.
- Published
- 2017
- Full Text
- View/download PDF
3. Age at symptom onset and death and disease duration in genetic frontotemporal dementia: an international retrospective cohort study
- Author
-
Moore, K.M. Nicholas, J. Grossman, M. McMillan, C.T. Irwin, D.J. Massimo, L. Van Deerlin, V.M. Warren, J.D. Fox, N.C. Rossor, M.N. Mead, S. Bocchetta, M. Boeve, B.F. Knopman, D.S. Graff-Radford, N.R. Forsberg, L.K. Rademakers, R. Wszolek, Z.K. van Swieten, J.C. Jiskoot, L.C. Meeter, L.H. Dopper, E.G. Papma, J.M. Snowden, J.S. Saxon, J. Jones, M. Pickering-Brown, S. Le Ber, I. Camuzat, A. Brice, A. Caroppo, P. Ghidoni, R. Pievani, M. Benussi, L. Binetti, G. Dickerson, B.C. Lucente, D. Krivensky, S. Graff, C. Öijerstedt, L. Fallström, M. Thonberg, H. Ghoshal, N. Morris, J.C. Borroni, B. Benussi, A. Padovani, A. Galimberti, D. Scarpini, E. Fumagalli, G.G. Mackenzie, I.R. Hsiung, G.-Y.R. Sengdy, P. Boxer, A.L. Rosen, H. Taylor, J.B. Synofzik, M. Wilke, C. Sulzer, P. Hodges, J.R. Halliday, G. Kwok, J. Sanchez-Valle, R. Lladó, A. Borrego-Ecija, S. Santana, I. Almeida, M.R. Tábuas-Pereira, M. Moreno, F. Barandiaran, M. Indakoetxea, B. Levin, J. Danek, A. Rowe, J.B. Cope, T.E. Otto, M. Anderl-Straub, S. de Mendonça, A. Maruta, C. Masellis, M. Black, S.E. Couratier, P. Lautrette, G. Huey, E.D. Sorbi, S. Nacmias, B. Laforce, R., Jr Tremblay, M.-P.L. Vandenberghe, R. Damme, P.V. Rogalski, E.J. Weintraub, S. Gerhard, A. Onyike, C.U. Ducharme, S. Papageorgiou, S.G. Ng, A.S.L. Brodtmann, A. Finger, E. Guerreiro, R. Bras, J. Rohrer, J.D. Heller, C. Convery, R.S. Woollacott, I.O. Shafei, R.M. Graff-Radford, J. Jones, D.T. Dheel, C.M. Savica, R. Lapid, M.I. Baker, M. Fields, J.A. Gavrilova, R. Domoto-Reilly, K. Poos, J.M. Van der Ende, E.L. Panman, J.L. Donker Kaat, L. Seelaar, H. Richardson, A. Frisoni, G. Mega, A. Fostinelli, S. Chiang, H.-H. Alberici, A. Arighi, A. Fenoglio, C. Heuer, H. Miller, B. Karydas, A. Fong, J. João Leitão, M. Santiago, B. Duro, D. Ferreira, C. Gabilondo, A. De Arriba, M. Tainta, M. Zulaica, M. Ferreira, C. Semler, E. Ludolph, A. Landwehrmeyer, B. Volk, A.E. Miltenberger, G. Verdelho, A. Afonso, S. Tartaglia, M.C. Freedman, M. Rogaeva, E. Ferrari, C. Piaceri, I. Bessi, V. Lombardi, G. St-Onge, F. Doré, M.-C. Bruffaerts, R. Vandenbulcke, M. Van den Stock, J. Mesulam, M.M. Bigio, E. Koros, C. Papatriantafyllou, J. Kroupis, C. Stefanis, L. Shoesmith, C. Robertson, E. Coppola, G. Da Silva Ramos, E.M. Geschwind, D.
- Abstract
Background: Frontotemporal dementia is a heterogenous neurodegenerative disorder, with about a third of cases being genetic. Most of this genetic component is accounted for by mutations in GRN, MAPT, and C9orf72. In this study, we aimed to complement previous phenotypic studies by doing an international study of age at symptom onset, age at death, and disease duration in individuals with mutations in GRN, MAPT, and C9orf72. Methods: In this international, retrospective cohort study, we collected data on age at symptom onset, age at death, and disease duration for patients with pathogenic mutations in the GRN and MAPT genes and pathological expansions in the C9orf72 gene through the Frontotemporal Dementia Prevention Initiative and from published papers. We used mixed effects models to explore differences in age at onset, age at death, and disease duration between genetic groups and individual mutations. We also assessed correlations between the age at onset and at death of each individual and the age at onset and at death of their parents and the mean age at onset and at death of their family members. Lastly, we used mixed effects models to investigate the extent to which variability in age at onset and at death could be accounted for by family membership and the specific mutation carried. Findings: Data were available from 3403 individuals from 1492 families: 1433 with C9orf72 expansions (755 families), 1179 with GRN mutations (483 families, 130 different mutations), and 791 with MAPT mutations (254 families, 67 different mutations). Mean age at symptom onset and at death was 49·5 years (SD 10·0; onset) and 58·5 years (11·3; death) in the MAPT group, 58·2 years (9·8; onset) and 65·3 years (10·9; death) in the C9orf72 group, and 61·3 years (8·8; onset) and 68·8 years (9·7; death) in the GRN group. Mean disease duration was 6·4 years (SD 4·9) in the C9orf72 group, 7·1 years (3·9) in the GRN group, and 9·3 years (6·4) in the MAPT group. Individual age at onset and at death was significantly correlated with both parental age at onset and at death and with mean family age at onset and at death in all three groups, with a stronger correlation observed in the MAPT group (r=0·45 between individual and parental age at onset, r=0·63 between individual and mean family age at onset, r=0·58 between individual and parental age at death, and r=0·69 between individual and mean family age at death) than in either the C9orf72 group (r=0·32 individual and parental age at onset, r=0·36 individual and mean family age at onset, r=0·38 individual and parental age at death, and r=0·40 individual and mean family age at death) or the GRN group (r=0·22 individual and parental age at onset, r=0·18 individual and mean family age at onset, r=0·22 individual and parental age at death, and r=0·32 individual and mean family age at death). Modelling showed that the variability in age at onset and at death in the MAPT group was explained partly by the specific mutation (48%, 95% CI 35–62, for age at onset; 61%, 47–73, for age at death), and even more by family membership (66%, 56–75, for age at onset; 74%, 65–82, for age at death). In the GRN group, only 2% (0–10) of the variability of age at onset and 9% (3–21) of that of age of death was explained by the specific mutation, whereas 14% (9–22) of the variability of age at onset and 20% (12–30) of that of age at death was explained by family membership. In the C9orf72 group, family membership explained 17% (11–26) of the variability of age at onset and 19% (12–29) of that of age at death. Interpretation: Our study showed that age at symptom onset and at death of people with genetic frontotemporal dementia is influenced by genetic group and, particularly for MAPT mutations, by the specific mutation carried and by family membership. Although estimation of age at onset will be an important factor in future pre-symptomatic therapeutic trials for all three genetic groups, our study suggests that data from other members of the family will be particularly helpful only for individuals with MAPT mutations. Further work in identifying both genetic and environmental factors that modify phenotype in all groups will be important to improve such estimates. Funding: UK Medical Research Council, National Institute for Health Research, and Alzheimer's Society. © 2020 Elsevier Ltd
- Published
- 2020
4. Age at symptom onset and death and disease duration in genetic frontotemporal dementia: an international retrospective cohort study
- Author
-
Moore, K.M. Nicholas, J. Grossman, M. McMillan, C.T. Irwin, D.J. Massimo, L. Van Deerlin, V.M. Warren, J.D. Fox, N.C. Rossor, M.N. Mead, S. Bocchetta, M. Boeve, B.F. Knopman, D.S. Graff-Radford, N.R. Forsberg, L.K. Rademakers, R. Wszolek, Z.K. van Swieten, J.C. Jiskoot, L.C. Meeter, L.H. Dopper, E.G. Papma, J.M. Snowden, J.S. Saxon, J. Jones, M. Pickering-Brown, S. Le Ber, I. Camuzat, A. Brice, A. Caroppo, P. Ghidoni, R. Pievani, M. Benussi, L. Binetti, G. Dickerson, B.C. Lucente, D. Krivensky, S. Graff, C. Öijerstedt, L. Fallström, M. Thonberg, H. Ghoshal, N. Morris, J.C. Borroni, B. Benussi, A. Padovani, A. Galimberti, D. Scarpini, E. Fumagalli, G.G. Mackenzie, I.R. Hsiung, G.-Y.R. Sengdy, P. Boxer, A.L. Rosen, H. Taylor, J.B. Synofzik, M. Wilke, C. Sulzer, P. Hodges, J.R. Halliday, G. Kwok, J. Sanchez-Valle, R. Lladó, A. Borrego-Ecija, S. Santana, I. Almeida, M.R. Tábuas-Pereira, M. Moreno, F. Barandiaran, M. Indakoetxea, B. Levin, J. Danek, A. Rowe, J.B. Cope, T.E. Otto, M. Anderl-Straub, S. de Mendonça, A. Maruta, C. Masellis, M. Black, S.E. Couratier, P. Lautrette, G. Huey, E.D. Sorbi, S. Nacmias, B. Laforce, R., Jr Tremblay, M.-P.L. Vandenberghe, R. Damme, P.V. Rogalski, E.J. Weintraub, S. Gerhard, A. Onyike, C.U. Ducharme, S. Papageorgiou, S.G. Ng, A.S.L. Brodtmann, A. Finger, E. Guerreiro, R. Bras, J. Rohrer, J.D. Heller, C. Convery, R.S. Woollacott, I.O. Shafei, R.M. Graff-Radford, J. Jones, D.T. Dheel, C.M. Savica, R. Lapid, M.I. Baker, M. Fields, J.A. Gavrilova, R. Domoto-Reilly, K. Poos, J.M. Van der Ende, E.L. Panman, J.L. Donker Kaat, L. Seelaar, H. Richardson, A. Frisoni, G. Mega, A. Fostinelli, S. Chiang, H.-H. Alberici, A. Arighi, A. Fenoglio, C. Heuer, H. Miller, B. Karydas, A. Fong, J. João Leitão, M. Santiago, B. Duro, D. Ferreira, C. Gabilondo, A. De Arriba, M. Tainta, M. Zulaica, M. Ferreira, C. Semler, E. Ludolph, A. Landwehrmeyer, B. Volk, A.E. Miltenberger, G. Verdelho, A. Afonso, S. Tartaglia, M.C. Freedman, M. Rogaeva, E. Ferrari, C. Piac and Moore, K.M. Nicholas, J. Grossman, M. McMillan, C.T. Irwin, D.J. Massimo, L. Van Deerlin, V.M. Warren, J.D. Fox, N.C. Rossor, M.N. Mead, S. Bocchetta, M. Boeve, B.F. Knopman, D.S. Graff-Radford, N.R. Forsberg, L.K. Rademakers, R. Wszolek, Z.K. van Swieten, J.C. Jiskoot, L.C. Meeter, L.H. Dopper, E.G. Papma, J.M. Snowden, J.S. Saxon, J. Jones, M. Pickering-Brown, S. Le Ber, I. Camuzat, A. Brice, A. Caroppo, P. Ghidoni, R. Pievani, M. Benussi, L. Binetti, G. Dickerson, B.C. Lucente, D. Krivensky, S. Graff, C. Öijerstedt, L. Fallström, M. Thonberg, H. Ghoshal, N. Morris, J.C. Borroni, B. Benussi, A. Padovani, A. Galimberti, D. Scarpini, E. Fumagalli, G.G. Mackenzie, I.R. Hsiung, G.-Y.R. Sengdy, P. Boxer, A.L. Rosen, H. Taylor, J.B. Synofzik, M. Wilke, C. Sulzer, P. Hodges, J.R. Halliday, G. Kwok, J. Sanchez-Valle, R. Lladó, A. Borrego-Ecija, S. Santana, I. Almeida, M.R. Tábuas-Pereira, M. Moreno, F. Barandiaran, M. Indakoetxea, B. Levin, J. Danek, A. Rowe, J.B. Cope, T.E. Otto, M. Anderl-Straub, S. de Mendonça, A. Maruta, C. Masellis, M. Black, S.E. Couratier, P. Lautrette, G. Huey, E.D. Sorbi, S. Nacmias, B. Laforce, R., Jr Tremblay, M.-P.L. Vandenberghe, R. Damme, P.V. Rogalski, E.J. Weintraub, S. Gerhard, A. Onyike, C.U. Ducharme, S. Papageorgiou, S.G. Ng, A.S.L. Brodtmann, A. Finger, E. Guerreiro, R. Bras, J. Rohrer, J.D. Heller, C. Convery, R.S. Woollacott, I.O. Shafei, R.M. Graff-Radford, J. Jones, D.T. Dheel, C.M. Savica, R. Lapid, M.I. Baker, M. Fields, J.A. Gavrilova, R. Domoto-Reilly, K. Poos, J.M. Van der Ende, E.L. Panman, J.L. Donker Kaat, L. Seelaar, H. Richardson, A. Frisoni, G. Mega, A. Fostinelli, S. Chiang, H.-H. Alberici, A. Arighi, A. Fenoglio, C. Heuer, H. Miller, B. Karydas, A. Fong, J. João Leitão, M. Santiago, B. Duro, D. Ferreira, C. Gabilondo, A. De Arriba, M. Tainta, M. Zulaica, M. Ferreira, C. Semler, E. Ludolph, A. Landwehrmeyer, B. Volk, A.E. Miltenberger, G. Verdelho, A. Afonso, S. Tartaglia, M.C. Freedman, M. Rogaeva, E. Ferrari, C. Piac
- Abstract
Background: Frontotemporal dementia is a heterogenous neurodegenerative disorder, with about a third of cases being genetic. Most of this genetic component is accounted for by mutations in GRN, MAPT, and C9orf72. In this study, we aimed to complement previous phenotypic studies by doing an international study of age at symptom onset, age at death, and disease duration in individuals with mutations in GRN, MAPT, and C9orf72. Methods: In this international, retrospective cohort study, we collected data on age at symptom onset, age at death, and disease duration for patients with pathogenic mutations in the GRN and MAPT genes and pathological expansions in the C9orf72 gene through the Frontotemporal Dementia Prevention Initiative and from published papers. We used mixed effects models to explore differences in age at onset, age at death, and disease duration between genetic groups and individual mutations. We also assessed correlations between the age at onset and at death of each individual and the age at onset and at death of their parents and the mean age at onset and at death of their family members. Lastly, we used mixed effects models to investigate the extent to which variability in age at onset and at death could be accounted for by family membership and the specific mutation carried. Findings: Data were available from 3403 individuals from 1492 families: 1433 with C9orf72 expansions (755 families), 1179 with GRN mutations (483 families, 130 different mutations), and 791 with MAPT mutations (254 families, 67 different mutations). Mean age at symptom onset and at death was 49·5 years (SD 10·0; onset) and 58·5 years (11·3; death) in the MAPT group, 58·2 years (9·8; onset) and 65·3 years (10·9; death) in the C9orf72 group, and 61·3 years (8·8; onset) and 68·8 years (9·7; death) in the GRN group. Mean disease duration was 6·4 years (SD 4·9) in the C9orf72 group, 7·1 years (3·9) in the GRN group, and 9·3 years (6·4) in the MAPT group. Individual age at onset and at
- Published
- 2020
5. Downregulation of exosomal miR-204-5p and miR-632 as a biomarker for FTD: a GENFI study
- Author
-
Schneider, R., Mckeever, P., Kim, T., Graff, C., Van Swieten, J. C., Karydas, A., Boxer, A., Rosen, H., Miller, B. L., Laforce, R., Galimberti, D., Masellis, M., Borroni, B., Zhang, Z., Zinman, L., Rohrer, J. D., Tartaglia, M. C., Robertson, J., Andersson, C., Archetti, S., Arighi, A., Benussi, L., Binetti, G., Black, S., Bocchetta, M., Cash, D., Cosseddu, M., Dick, K., Fallström, M., Ferreira, C., Fenoglio, C., Fox, N., Freedman, M., Frisoni, G., Fumagalli, G., Gazzina, S., Ghidoni, R., Grisoli, M., Jelic, V., Jiskoot, L., Keren, R., Lombardi, G., Maruta, C., Meeter, L., van Minkelen, M., Nacmias, B., Öijerstedt, L., Ourselin, S., Padovani, A., Panman, J., Pievani, M., Polito, C., Premi, E., Prioni, S., Rademakers, R. Redaelli V., Rogaeva, E., Rossi, G., Rossor, M., Row, J., Scarpini, E., Tagliavini, F., Sorbi, S., Tang-Wai, D., Thomas, D., Thonberg, H., Tiraboschi, P., Verdelho, A., Warren, J., Neurology, Schneider, Raphael [0000-0003-1776-2418], and Apollo - University of Cambridge Repository
- Subjects
0301 basic medicine ,Oncology ,Male ,Aging ,Neurodegenerative ,Alzheimer's Disease ,medicine.disease_cause ,Exosomes ,Medical and Health Sciences ,0302 clinical medicine ,Mutation Carrier ,Alzheimer's Disease Related Dementias (ADRD) ,screening and diagnosis ,Mutation ,biology ,Cognitive Neurology ,3. Good health ,Detection ,Psychiatry and Mental health ,Real-time polymerase chain reaction ,Frontotemporal Dementia ,Neurological ,Cohort ,Biomarker (medicine) ,Female ,Biotechnology ,Frontotemporal dementia ,medicine.medical_specialty ,Tau protein ,Down-Regulation ,Chromosome 9 ,tau Proteins ,03 medical and health sciences ,Rare Diseases ,Internal medicine ,mental disorders ,Acquired Cognitive Impairment ,Genetics ,medicine ,Humans ,Neurology & Neurosurgery ,business.industry ,Prevention ,Psychology and Cognitive Sciences ,Neurosciences ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Genetic FTD Initiative ,medicine.disease ,Brain Disorders ,4.1 Discovery and preclinical testing of markers and technologies ,MicroRNAs ,030104 developmental biology ,biology.protein ,Dementia ,Surgery ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Biomarkers - Abstract
ObjectiveTo determine whether exosomal microRNAs (miRNAs) in cerebrospinal fluid (CSF) of patients with frontotemporal dementia (FTD) can serve as diagnostic biomarkers, we assessed miRNA expression in the Genetic Frontotemporal Dementia Initiative (GENFI) cohort and in sporadic FTD.MethodsGENFI participants were either carriers of a pathogenic mutation in progranulin, chromosome 9 open reading frame 72 or microtubule-associated protein tau or were at risk of carrying a mutation because a first-degree relative was a known symptomatic mutation carrier. Exosomes were isolated from CSF of 23 presymptomatic and 15 symptomatic mutation carriers and 11 healthy non-mutation carriers. Expression of 752 miRNAs was measured using quantitative PCR (qPCR) arrays and validated by qPCR using individual primers. MiRNAs found differentially expressed in symptomatic compared with presymptomatic mutation carriers were further evaluated in a cohort of 17 patients with sporadic FTD, 13 patients with sporadic Alzheimer’s disease (AD) and 10 healthy controls (HCs) of similar age.ResultsIn the GENFI cohort, miR-204-5p and miR-632 were significantly decreased in symptomatic compared with presymptomatic mutation carriers. Decrease of miR-204-5p and miR-632 revealed receiver operator characteristics with an area of 0.89 (90% CI 0.79 to 0.98) and 0.81 (90% CI 0.68 to 0.93), respectively, and when combined an area of 0.93 (90% CI 0.87 to 0.99). In sporadic FTD, only miR-632 was significantly decreased compared with AD and HCs. Decrease of miR-632 revealed an area of 0.90 (90% CI 0.81 to 0.98).ConclusionsExosomal miR-204-5p and miR-632 have potential as diagnostic biomarkers for genetic FTD and miR-632 also for sporadic FTD.
- Published
- 2017
- Full Text
- View/download PDF
6. Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis
- Author
-
Rohrer, Jd, Nicholas, Jm, Cash, Dm, van Swieten, J, Dopper, E, Jiskoot, L, van Minkelen, R, Rombouts, Sa, Cardoso, Mj, Clegg, S, Espak, M, Mead, S, Thomas, Dl, De Vita, E, Masellis, M, Black, Se, Freedman, M, Keren, R, Macintosh, Bj, Rogaeva, E, Tang Wai, D, Tartaglia, Mc, Laforce, R, Tagliavini, F, Tiraboschi, P, Redaelli, V, Prioni, S, Grisoli, M, Borroni, Barbara, Padovani, Alessandro, Galimberti, D, Scarpini, E, Arighi, A, Fumagalli, G, Rowe, Jb, Coyle Gilchrist, I, Graff, C, Fallström, M, Jelic, V, Ståhlbom, Ak, Andersson, C, Thonberg, H, Lilius, L, Frisoni, Gb, Pievani, M, Bocchetta, M, Benussi, L, Ghidoni, R, Finger, E, Sorbi, S, Nacmias, B, Lombardi, G, Polito, C, Warren, Jd, Ourselin, S, and Fox, Nc
- Published
- 2015
7. Age at symptom onset and death and disease duration in genetic frontotemporal dementia: an international retrospective cohort study.
- Author
-
Moore KM, Nicholas J, Grossman M, McMillan CT, Irwin DJ, Massimo L, Van Deerlin VM, Warren JD, Fox NC, Rossor MN, Mead S, Bocchetta M, Boeve BF, Knopman DS, Graff-Radford NR, Forsberg LK, Rademakers R, Wszolek ZK, van Swieten JC, Jiskoot LC, Meeter LH, Dopper EG, Papma JM, Snowden JS, Saxon J, Jones M, Pickering-Brown S, Le Ber I, Camuzat A, Brice A, Caroppo P, Ghidoni R, Pievani M, Benussi L, Binetti G, Dickerson BC, Lucente D, Krivensky S, Graff C, Öijerstedt L, Fallström M, Thonberg H, Ghoshal N, Morris JC, Borroni B, Benussi A, Padovani A, Galimberti D, Scarpini E, Fumagalli GG, Mackenzie IR, Hsiung GR, Sengdy P, Boxer AL, Rosen H, Taylor JB, Synofzik M, Wilke C, Sulzer P, Hodges JR, Halliday G, Kwok J, Sanchez-Valle R, Lladó A, Borrego-Ecija S, Santana I, Almeida MR, Tábuas-Pereira M, Moreno F, Barandiaran M, Indakoetxea B, Levin J, Danek A, Rowe JB, Cope TE, Otto M, Anderl-Straub S, de Mendonça A, Maruta C, Masellis M, Black SE, Couratier P, Lautrette G, Huey ED, Sorbi S, Nacmias B, Laforce R Jr, Tremblay ML, Vandenberghe R, Damme PV, Rogalski EJ, Weintraub S, Gerhard A, Onyike CU, Ducharme S, Papageorgiou SG, Ng ASL, Brodtmann A, Finger E, Guerreiro R, Bras J, and Rohrer JD
- Subjects
- Adult, Aged, Aged, 80 and over, C9orf72 Protein genetics, C9orf72 Protein metabolism, Cohort Studies, Disease Progression, Family, Female, Humans, Male, Middle Aged, Mutation, Phenotype, Progranulins genetics, Progranulins metabolism, Retrospective Studies, tau Proteins genetics, tau Proteins metabolism, Age of Onset, Frontotemporal Dementia genetics, Frontotemporal Dementia mortality
- Abstract
Background: Frontotemporal dementia is a heterogenous neurodegenerative disorder, with about a third of cases being genetic. Most of this genetic component is accounted for by mutations in GRN, MAPT, and C9orf72. In this study, we aimed to complement previous phenotypic studies by doing an international study of age at symptom onset, age at death, and disease duration in individuals with mutations in GRN, MAPT, and C9orf72., Methods: In this international, retrospective cohort study, we collected data on age at symptom onset, age at death, and disease duration for patients with pathogenic mutations in the GRN and MAPT genes and pathological expansions in the C9orf72 gene through the Frontotemporal Dementia Prevention Initiative and from published papers. We used mixed effects models to explore differences in age at onset, age at death, and disease duration between genetic groups and individual mutations. We also assessed correlations between the age at onset and at death of each individual and the age at onset and at death of their parents and the mean age at onset and at death of their family members. Lastly, we used mixed effects models to investigate the extent to which variability in age at onset and at death could be accounted for by family membership and the specific mutation carried., Findings: Data were available from 3403 individuals from 1492 families: 1433 with C9orf72 expansions (755 families), 1179 with GRN mutations (483 families, 130 different mutations), and 791 with MAPT mutations (254 families, 67 different mutations). Mean age at symptom onset and at death was 49·5 years (SD 10·0; onset) and 58·5 years (11·3; death) in the MAPT group, 58·2 years (9·8; onset) and 65·3 years (10·9; death) in the C9orf72 group, and 61·3 years (8·8; onset) and 68·8 years (9·7; death) in the GRN group. Mean disease duration was 6·4 years (SD 4·9) in the C9orf72 group, 7·1 years (3·9) in the GRN group, and 9·3 years (6·4) in the MAPT group. Individual age at onset and at death was significantly correlated with both parental age at onset and at death and with mean family age at onset and at death in all three groups, with a stronger correlation observed in the MAPT group (r=0·45 between individual and parental age at onset, r=0·63 between individual and mean family age at onset, r=0·58 between individual and parental age at death, and r=0·69 between individual and mean family age at death) than in either the C9orf72 group (r=0·32 individual and parental age at onset, r=0·36 individual and mean family age at onset, r=0·38 individual and parental age at death, and r=0·40 individual and mean family age at death) or the GRN group (r=0·22 individual and parental age at onset, r=0·18 individual and mean family age at onset, r=0·22 individual and parental age at death, and r=0·32 individual and mean family age at death). Modelling showed that the variability in age at onset and at death in the MAPT group was explained partly by the specific mutation (48%, 95% CI 35-62, for age at onset; 61%, 47-73, for age at death), and even more by family membership (66%, 56-75, for age at onset; 74%, 65-82, for age at death). In the GRN group, only 2% (0-10) of the variability of age at onset and 9% (3-21) of that of age of death was explained by the specific mutation, whereas 14% (9-22) of the variability of age at onset and 20% (12-30) of that of age at death was explained by family membership. In the C9orf72 group, family membership explained 17% (11-26) of the variability of age at onset and 19% (12-29) of that of age at death., Interpretation: Our study showed that age at symptom onset and at death of people with genetic frontotemporal dementia is influenced by genetic group and, particularly for MAPT mutations, by the specific mutation carried and by family membership. Although estimation of age at onset will be an important factor in future pre-symptomatic therapeutic trials for all three genetic groups, our study suggests that data from other members of the family will be particularly helpful only for individuals with MAPT mutations. Further work in identifying both genetic and environmental factors that modify phenotype in all groups will be important to improve such estimates., Funding: UK Medical Research Council, National Institute for Health Research, and Alzheimer's Society., (Copyright © 2020 Elsevier Ltd. All rights reserved.)
- Published
- 2020
- Full Text
- View/download PDF
8. Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis.
- Author
-
Rohrer JD, Nicholas JM, Cash DM, van Swieten J, Dopper E, Jiskoot L, van Minkelen R, Rombouts SA, Cardoso MJ, Clegg S, Espak M, Mead S, Thomas DL, De Vita E, Masellis M, Black SE, Freedman M, Keren R, MacIntosh BJ, Rogaeva E, Tang-Wai D, Tartaglia MC, Laforce R Jr, Tagliavini F, Tiraboschi P, Redaelli V, Prioni S, Grisoli M, Borroni B, Padovani A, Galimberti D, Scarpini E, Arighi A, Fumagalli G, Rowe JB, Coyle-Gilchrist I, Graff C, Fallström M, Jelic V, Ståhlbom AK, Andersson C, Thonberg H, Lilius L, Frisoni GB, Pievani M, Bocchetta M, Benussi L, Ghidoni R, Finger E, Sorbi S, Nacmias B, Lombardi G, Polito C, Warren JD, Ourselin S, Fox NC, Rossor MN, and Binetti G
- Subjects
- Adult, Cognition Disorders diagnosis, Cognition Disorders psychology, Cross-Sectional Studies, Female, Frontotemporal Dementia diagnosis, Frontotemporal Dementia psychology, Humans, Male, Middle Aged, Asymptomatic Diseases, Brain pathology, Cognition Disorders genetics, Frontotemporal Dementia genetics, Mutation genetics, Neuropsychological Tests
- Abstract
Background: Frontotemporal dementia is a highly heritable neurodegenerative disorder. In about a third of patients, the disease is caused by autosomal dominant genetic mutations usually in one of three genes: progranulin (GRN), microtubule-associated protein tau (MAPT), or chromosome 9 open reading frame 72 (C9orf72). Findings from studies of other genetic dementias have shown neuroimaging and cognitive changes before symptoms onset, and we aimed to identify whether such changes could be shown in frontotemporal dementia., Methods: We recruited participants to this multicentre study who either were known carriers of a pathogenic mutation in GRN, MAPT, or C9orf72, or were at risk of carrying a mutation because a first-degree relative was a known symptomatic carrier. We calculated time to expected onset as the difference between age at assessment and mean age at onset within the family. Participants underwent a standardised clinical assessment and neuropsychological battery. We did MRI and generated cortical and subcortical volumes using a parcellation of the volumetric T1-weighted scan. We used linear mixed-effects models to examine whether the association of neuropsychology and imaging measures with time to expected onset of symptoms differed between mutation carriers and non-carriers., Findings: Between Jan 30, 2012, and Sept 15, 2013, we recruited participants from 11 research sites in the UK, Italy, the Netherlands, Sweden, and Canada. We analysed data from 220 participants: 118 mutation carriers (40 symptomatic and 78 asymptomatic) and 102 non-carriers. For neuropsychology measures, we noted the earliest significant differences between mutation carriers and non-carriers 5 years before expected onset, when differences were significant for all measures except for tests of immediate recall and verbal fluency. We noted the largest Z score differences between carriers and non-carriers 5 years before expected onset in tests of naming (Boston Naming Test -0·7; SE 0·3) and executive function (Trail Making Test Part B, Digit Span backwards, and Digit Symbol Task, all -0·5, SE 0·2). For imaging measures, we noted differences earliest for the insula (at 10 years before expected symptom onset, mean volume as a percentage of total intracranial volume was 0·80% in mutation carriers and 0·84% in non-carriers; difference -0·04, SE 0·02) followed by the temporal lobe (at 10 years before expected symptom onset, mean volume as a percentage of total intracranial volume 8·1% in mutation carriers and 8·3% in non-carriers; difference -0·2, SE 0·1)., Interpretation: Structural imaging and cognitive changes can be identified 5-10 years before expected onset of symptoms in asymptomatic adults at risk of genetic frontotemporal dementia. These findings could help to define biomarkers that can stage presymptomatic disease and track disease progression, which will be important for future therapeutic trials., Funding: Centres of Excellence in Neurodegeneration., (Copyright © 2015 Rohrer et al. Open Access article distributed under the terms of CC BY. Published by Elsevier Ltd. All rights reserved.)
- Published
- 2015
- Full Text
- View/download PDF
9. Mutation screening of patients with Alzheimer disease identifies APP locus duplication in a Swedish patient.
- Author
-
Thonberg H, Fallström M, Björkström J, Schoumans J, Nennesmo I, and Graff C
- Abstract
Background: Missense mutations in three different genes encoding amyloid-β precursor protein, presenilin 1 and presenilin 2 are recognized to cause familial early-onset Alzheimer disease. Also duplications of the amyloid precursor protein gene have been shown to cause the disease. At the Dept. of Geriatric Medicine, Karolinska University Hospital, Sweden, patients are referred for mutation screening for the identification of nucleotide variations and for determining copy-number of the APP locus., Methods: We combined the method of microsatellite marker genotyping with a quantitative real-time PCR analysis to detect duplications in patients with Alzheimer disease., Results: In 22 DNA samples from individuals diagnosed with clinical Alzheimer disease, we identified one patient carrying a duplication on chromosome 21 which included the APP locus. Further mapping of the chromosomal region by array-comparative genome hybridization showed that the duplication spanned a maximal region of 1.09 Mb., Conclusions: This is the first report of an APP duplication in a Swedish Alzheimer patient and describes the use of quantitative real-time PCR as a tool for determining copy-number of the APP locus.
- Published
- 2011
- Full Text
- View/download PDF
10. Spectrum of mutations in the CFTR gene of patients with classical and atypical forms of cystic fibrosis from southwestern Sweden: identification of 12 novel mutations.
- Author
-
Strandvik B, Björck E, Fallström M, Gronowitz E, Thountzouris J, Lindblad A, Markiewicz D, Wahlström J, Tsui LC, and Zielenski J
- Subjects
- Adult, Child, Preschool, Codon, Nonsense, Cystic Fibrosis physiopathology, DNA blood, DNA Mutational Analysis, Frameshift Mutation, Genetic Heterogeneity, Genotype, Humans, Infant, Mutation, Missense, Phenotype, Sweden, Cystic Fibrosis genetics, Cystic Fibrosis Transmembrane Conductance Regulator genetics, Mutation
- Abstract
Cystic fibrosis (CF) is caused by mutations in the CFTR gene. The spectrum of CFTR mutations varies between populations and depends on different factors, such as ethnic background and geographical location. The extensive CFTR mutation screening of 129 patients with classical or atypical CF from the south-western region of Sweden revealed the presence of 37 CFTR mutations, including 12 novel alleles. The overall mutation detection rate in this study population was 92%, the highest among all tested regions in Sweden. Eight mutations with a frequency above 1% (DeltaF508, 394delTT, R117C, 3659delC, E60X, 1112delT, R764X, and 621 + 1G --> T) accounted for 78% of CF chromosomes and have been recommended for inclusion in the CFTR mutation screening panel for molecular diagnosis of CF in this region. The multiple occurrence of specific CFTR alleles less common than the predominant DeltaF508 mutation (394delTT, R117C, 3659delC) allowed for genotype-phenotype comparisons and revealed consistent relationships between these mutations and disease severity.
- Published
- 2001
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.